公开(公告)号：US20160080542A1

公开(公告)日：2016-03-17

申请号：US14657064

申请日：2015-03-13

Applicant: LG ELECTRONICS INC.

Inventor： Wooseong PARK ,  Daehwan KIM ,  Changkeun CHOI ,  Gwanggoo KANG ,  Taewon JANG

IPC: H04M1/725 ,  H04W4/02

CPC classification number: H04M1/72522 ,  G01C21/3682 ,  G06F3/0346 ,  G06F3/04817 ,  H04W4/02 ,  H04W88/02

Abstract: Disclosed are a mobile terminal to which a touch input is applicable, and a control method thereof. The mobile terminal includes: a terminal body; a wireless communication unit configured to receive position information on the terminal body; and a controller configured to extract one or more schedules stored in the terminal body, to acquire azimuth information on positions related to the extracted schedules based on the received position information, and to output one or more icons related to the extracted schedule(s) to an edge region of the display unit, wherein when a tilted state of the terminal body is sensed, the controller controls the one or more icons to move along the edge region of the display unit, based on azimuth information changed according to a sensed gradient.

Abstract translation: 公开了可应用触摸输入的移动终端及其控制方法。 移动终端包括：终端主体; 无线通信单元，被配置为在所述终端主体上接收位置信息; 以及控制器，被配置为提取存储在所述终端主体中的一个或多个日程表，以基于所接收的位置信息获取与所提取的日程表相关的位置的方位信息，并且将与所提取的日程表相关的一个或多个图标输出到 显示单元的边缘区域，其中当感测到终端主体的倾斜状态时，控制器基于根据感测到的梯度改变的方位信息来控制一个或多个图标沿着显示单元的边缘区域移动。

公开(公告)号：US20200018551A1

公开(公告)日：2020-01-16

申请号：US16581142

申请日：2019-09-24

Applicant: LG ELECTRONICS INC.

Inventor： Jinyoung HUR ,  Jeongtae KIM ,  Taewon JANG

IPC: F27D21/02 ,  A23L5/10 ,  F24C7/08

Abstract: Disclosed in an artificial intelligence cooking device. The artificial intelligence cooking device according to an embodiment includes: a sensing unit configured to photograph at least one food material and detect a distance to the at least one food material; and a processor configured to acquire a weight of the at least one food material by providing an image obtained by photographing the at least one food material and the detected distance to an artificial intelligence model, and perform cooking according to a cooking course that is set on the basis of a kind of the at least one food material and the weight of the at least one food material. Here, the artificial intelligence model is a neural network that is trained by using training data including an image obtained by photographing a food material and a distance from which an image is photographed and labeling data including a weight of a food material.